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» Approximate Reasoning in MAS: Rough Set Approach
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FUZZIEEE
2007
IEEE
15 years 4 months ago
Distance Measure Assisted Rough Set Feature Selection
Abstract— Feature Selection (FS) is a technique for dimensionality reduction. Its aims are to select a subset of the original features of a dataset which are rich in the most use...
Neil MacParthalain, Qiang Shen, Richard Jensen
JANCL
2006
123views more  JANCL 2006»
14 years 9 months ago
Approximate databases: a support tool for approximate reasoning
This paper describes an experimental platform for approximate knowledge databases called the Approximate Knowledge Database (AKDB), based on a semantics inspired by rough sets. The...
Patrick Doherty, Martin Magnusson, Andrzej Szalas
ICCBR
2003
Springer
15 years 3 months ago
Unifying Weighting and Case Reduction Methods Based on Rough Sets to Improve Retrieval
Case-Based Reasoning systems usually retrieve cases using a similarity function based on K-NN or some derivatives. These functions are sensitive to irrelevant or noisy features. We...
Maria Salamó, Elisabet Golobardes
55
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IEEECIT
2006
IEEE
15 years 3 months ago
A Service Retrieval Model with Enhanced Dominance-Based Rough Sets
As an important part of service-oriented software engineering, service retrieval receives much attention from industry and academia, but which still leaves much to be expected: ho...
Bin Tang, Leqiu Qian, Ruzhi Xu, Yunjiao Xue, Hui T...
RSKT
2009
Springer
15 years 4 months ago
Learning Optimal Parameters in Decision-Theoretic Rough Sets
A game-theoretic approach for learning optimal parameter values for probabilistic rough set regions is presented. The parameters can be used to define approximation regions in a p...
Joseph P. Herbert, Jingtao Yao